summary_dependencies: Summary Dependencies function.

In Clustericat: This package performs clustering for categorical dataset.

Description

This function gives the summary of the dependencies of the best model from a clustcat object. For each block, the first line presents the variables of the block and the correlation coefficient Rho. The other lines print the value of the parameters of maximum dependence distribution (Tau: probabilities of the modalities crossing, Delta: modalities crossing).

Usage

  summary_dependencies(object)

Arguments

object

output object from clustercat.

Examples

# Simple example with binary data
data("dentist")


# estimation of the model for a classes number equal to 1,2.
res <- clustercat(dentist, 1:2,modal=rep(2,5))

# presentation of the best model
summary(res)

# presentation of the parameters of the conditional dependencies for the best model
summary_dependencies(res)

Clustericat documentation built on May 2, 2019, 5:45 p.m.